Thought Graph: Generating Thought Process for Biological Reasoning

Fuente: arXiv
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Main Authors: Hsu, Chi-Yang, Cox, Kyle, Xu, Jiawei, Tan, Zhen, Zhai, Tianhua, Hu, Mengzhou, Pratt, Dexter, Chen, Tianlong, Hu, Ziniu, Ding, Ying
Format: Preprint
Published: 2024
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author Hsu, Chi-Yang
Cox, Kyle
Xu, Jiawei
Tan, Zhen
Zhai, Tianhua
Hu, Mengzhou
Pratt, Dexter
Chen, Tianlong
Hu, Ziniu
Ding, Ying
author_facet Hsu, Chi-Yang
Cox, Kyle
Xu, Jiawei
Tan, Zhen
Zhai, Tianhua
Hu, Mengzhou
Pratt, Dexter
Chen, Tianlong
Hu, Ziniu
Ding, Ying
contents We present the Thought Graph as a novel framework to support complex reasoning and use gene set analysis as an example to uncover semantic relationships between biological processes. Our framework stands out for its ability to provide a deeper understanding of gene sets, significantly surpassing GSEA by 40.28% and LLM baselines by 5.38% based on cosine similarity to human annotations. Our analysis further provides insights into future directions of biological processes naming, and implications for bioinformatics and precision medicine.
format Preprint
id arxiv_https___arxiv_org_abs_2403_07144
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Thought Graph: Generating Thought Process for Biological Reasoning
Hsu, Chi-Yang
Cox, Kyle
Xu, Jiawei
Tan, Zhen
Zhai, Tianhua
Hu, Mengzhou
Pratt, Dexter
Chen, Tianlong
Hu, Ziniu
Ding, Ying
Computation and Language
We present the Thought Graph as a novel framework to support complex reasoning and use gene set analysis as an example to uncover semantic relationships between biological processes. Our framework stands out for its ability to provide a deeper understanding of gene sets, significantly surpassing GSEA by 40.28% and LLM baselines by 5.38% based on cosine similarity to human annotations. Our analysis further provides insights into future directions of biological processes naming, and implications for bioinformatics and precision medicine.
title Thought Graph: Generating Thought Process for Biological Reasoning
topic Computation and Language
url https://arxiv.org/abs/2403.07144